OKX Web3 (NFT & 钱包 & DeFi)
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30,594
Followers
173
Following
964
Tweets
56.5
Avg Engagement
58
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @OKXWeb3_CN's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Mid-Tier (10K+)
- Account Age:2022-08-03
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:506
- Avg Likes per Tweet:8.4
- Avg Retweets per Tweet:48.1
- Followers Analyzed:19,534
Engagement Analysis
Based on 506 tweets账号通过高互动的活动和福利内容吸引用户参与，如点赞、转发和评论，以提高用户粘性和参与度。
8.4
Avg Likes/Tweet
48.1
Avg Retweets/Tweet
4,247
Total Likes
24,362
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
7
75th Percentile
6,032
Top Tweet
1.85
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
41.5%
Original
36.2%
Replies
11.5%
Retweets
10.9%
Quotes
0.0%
Threads
0.0%
With Media
81.0%
With Links
44.9%
With #Tags
39.3%
With @Mentions
69.0%
With Emojis
135
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.87
Reply/Original Ratio
0.95
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
86.0%
Weekday Posts
14.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 506 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 58 retweets (11% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 506 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 19,534 followers目标用户主要是对 Web3 技术感兴趣的加密货币持有者和交易者，以及希望参与挖矿和活动的潜在投资者。
Good
Audience Quality
16.9%
Suspicion Index
13.3%
Low-Quality %
48
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
25.0%
Empty Bio
4.8%
<10 Tweets
14.1%
Mass Following (>2K)
0.0%
New (<90 days)
48.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.5%
No URL
1.6%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
28,513,838
Total Potential Reach
48
Median Follower Reach
131
75th Percentile Reach
3.0%
>1K followers
0.5%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
78.4%
Creators
15,310 accounts
16.9%
Consumers
3,296 accounts
4.8%
Dormant
928 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
7
Verified Followers
0.04% of total
129
Protected Accounts
0.66% of total
3 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @JohnCena | 14,106,682 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,250 | - | - |
| @okx | 2,914,773 | Cryptocurrency Exchange | Bitcoin, Crypto, Exchange |
| @HeiraCrypto | 449,165 | - | - |
| @swapleonicorn | 253,933 | Cryptocurrency Trader | DeFi, Automated Market Maker, Deflationary Token Model |
| @OKCNetwork | 240,999 | Cryptocurrency | EVM compatible, super-fast, low cost |
| @ShitCoinBscGem | 211,724 | - | - |
| @burger_cities | 179,390 | - | - |
| @okxchinese | 177,481 | Cryptocurrency Exchange | Cryptocurrency, Trading, Sponsorship |
| @okxweb3 | 157,357 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
14,646
Followers With Bio
4,888
Followers Without Bio
74.98%
% With Bio
25.02%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 506 analyzed16,743
Combined Engagement
1,609
Total Likes
15,134
Total Retweets
3,349
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @VersHeroes: Following our deal🤝 with Chinese-speaking users, #Versailles_Heroes has now integrated with @okx wallet. Now, all users📱can easily access all the game🎮 services. We'll continue to explore a lot more with @okxweb3. Check tutorial in Chinese: https://t.co/Hd8DcLh
RT @FBBank_cc: ⚽️AIRDROPS of $50,000 $FB + 50 #OKX Football Cup NFTs (currently 1 NFT can share a reward of $72.29) 🎁Prize: $50,000 FB🎉+50 OKX Football Cup NFTs ⏰Nov 11th 9:00 - Nov 18th 9:00 (UTC) 💰$50 FB (BEP-20) each 📋Finish task➡️ https://t.co/lmCVnQ7UvD @OKXWeb3_CN @tas
RT @okx: 🚀 All systems are go 🚀 #WhatIsOKX? Perfume? Race car? Rap song? Cereal? Wrestler? Energy drink? We’re your new favorite #crypto trading app 📲 The future is tradeable - switch to OKX today: https://t.co/b4OA4p6Azx https://t.co/XTspylXD2L
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Key Insights & Takeaways
账号内容以营销和活动推广为主，注重用户互动和奖励机制 通过节日和新年主题增加用户参与感和关注 强调平台的多功能性和支持的公链数量，以展示其技术优势
Strengths
- + Established follower base of 30,594
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @OKXWeb3_CN reveals an growing Twitter presence with 30,594 followers. The account demonstrates a content-creator strategy, averaging 56.5 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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